DATA: Data & Analytics Literacy

Enterprises increasingly rely on analytics for effective decision-making, optimization, and innovation, resulting in an increased demand for an analytically literate workforce. As job roles become more data-intensive, data literacy is critical to effectively “talk data” with business colleagues and data and analytics professionals who support you in your work. Start your exploration by uncovering fundamental concepts in data management, data quality, data privacy and protection, and data governance. Continue your journey with acquiring techniques for building your analytics literacy. Here are some of the things you are sure to discover: Distinguish between structured and unstructured data.Sequence the stages of the data lifecycle.Identify the key attributes of data quality.Recognize best practices for effectively protecting data.Recognize key attributes of effective data governance.Common analytics pitfallsBest practices for supporting effective analytics practices in your organization.Distinguish between types of analytics.Sequence the four steps in the analytics development process.Identify the stages of business analytics application advancement.Recognize the most common mistakes in using analytics.Recognize best practices for establishing and supporting an analytical organizational culture. This track was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)